Deep learning in the woods

Research question

Deep Learning in the Woods: what can we learn about canopy height from optical remote sensing?

Hypothesis

1. The model has not learned a connection of spectral values to canopy height.
   
2. Other variables like location and biome play a more important role.

Results

Colour blind friendly result plots

Data

Tiles selected for the analysis.

Slides

Some link or so to the slides.

Sources

Nico Lang